AI Ethics & Safety
Robustness
AI Ethics & Safety· Intermediate
Definition
The ability of an AI model to maintain reliable, correct performance under distribution shift, adversarial inputs, edge cases, and unexpected conditions. A robust model performs consistently across the full range of real-world deployment conditions, not just clean test sets.
Enterprise Context
Critical for enterprise AI: production environments have messy, out-of-distribution data that test sets don't capture. Robustness evaluation should precede any high-stakes deployment.
Tags
#safety#reliability#evaluation
MS
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